Real-Time Hybrid Testing: Challenges and Experiences from a Teaching Point of View

Abstract

Hybrid simulation techniques, which combine real physical models with virtual simulation models, have developed significantly in the last decades. Continuing scientific work and steady progress in simulation and modeling techniques together with powerful automatic code generation tools have pushed this development. For an engineer, this technology offers the possibility of significant savings, faster product development, reduced design uncertainties and reliable component testing without any risk. Due to these advantages there is an increased industrial acceptance and consequently the integration in engineering education is required. From a scientific point of view, hybrid testing demands advanced knowledge in the fields of modeling and simulation, real-time integration, model-order reduction, measurement and signal processing. Furthermore, since coupled systems generally result in a closed loop structure, profound understanding of control theory as well as sensors and actuators is essential. In order to manage this diversity of requirements, several experiments of varying complexity have been developed for illustration of the theoretical background. The laboratory experiments presented comprise dynamic absorber testing and hybrid testing of mechatronic systems like a quadcopter during complex flight operations. The aim is a basic understanding of hybrid testing, its challenges and potentials, and the ability recognize and implement possible application in science and industry.